JUREX-4E: Juridical Expert-Annotated Four-Element Knowledge Base for Legal Reasoning

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ID: 283297
2025
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Abstract
The Four-Element Theory is a fundamental framework in criminal law, defining the constitution of crime through four dimensions: Subject, Object, Subjective aspect, and Objective aspect. This theory is widely referenced in legal reasoning, and many Large Language Models (LLMs) attempt to incorporate it when handling legal tasks. However, current approaches rely on LLMs' internal knowledge to incorporate this theory, often lacking completeness and representativeness. To address this limitation, we introduce JUREX-4E, an expert-annotated knowledge base covering 155 criminal charges. It is structured through a progressive hierarchical annotation framework that prioritizes legal source validity and employs diverse legal interpretation methods to ensure comprehensiveness and authority. We evaluate JUREX-4E on the Similar Charge Distinction task and apply it to Legal Case Retrieval, demonstrating its effectiveness in improving LLM performance. Experimental results validate the high quality of JUREX-4E and its substantial impact on downstream legal tasks, underscoring its potential for advancing legal AI applications. Code: https://github.com/THUlawtech/JUREX
Reference Key
feng2025jurex4e Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Huanghai Liu; Quzhe Huang; Qingjing Chen; Yiran Hu; Jiayu Ma; Yun Liu; Weixing Shen; Yansong Feng
Journal arXiv
Year 2025
DOI
DOI not found
URL
http://arxiv.org/abs/2502.17166v1
Keywords
cs.ai cs.cl

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